Ai Cloud Architect

What are we looking for?We are looking for people specialized in AI, specifically as an architect.As an AI Architect at NTT DATA, you will be the technical visionary and hands?on leader responsible for defining, designing, and guiding the implementation of enterprise?grade AI and generative AI solutions.You will collaborate closely with data engineers, ML engineers, cloud architects, and business stakeholders to translate strategic objectives into scalable, secure, and maintainable AI systems.Your Day-to-Day Architect end-to-end AI and generative AI platforms, covering data ingestion, modeling, deployment, monitoring, and governance.Provide guidance and best practices for model development, MLOps workflows, and infrastructure automation.Design secure, cost?effective deployments on public cloud providers (Azure, AWS, or GCP), leveraging native AI/ML services as appropriate.Define and maintain IaC pipelines (e.G., Terraform) to provision and manage cloud resources consistently and reproducibly.Establish CI/CD pipelines for model versioning, automated testing, and continuous monitoring using tools like MLflow (or equivalent).Containerise services and models with Docker; design orchestration patterns (Kubernetes, ECS, etc.) to support scalable inference.Drive adoption of coding standards, security best practices, and data privacy controls across AI projects.Partner with stakeholders-data scientists, data engineers, cybersecurity, and business units-to ensure alignment with organisational goals.Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies.Why would we like to meet you?Proven experience designing production?grade AI and generative AI solutions at scale.Hands?on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform.Familiarity with cloud?native AI services (e.G., Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI).Proficient in Python, with deep knowledge of AI/ML libraries (e.G., TensorFlow, PyTorch, Hugging Face).Demonstrable experience using Terraform (or equivalent) to define and manage cloud infrastructure.Practical experience with MLflow or similar platforms to operationalise ML workflows.Solid understanding of Docker; experience with Kubernetes or other container orchestration systems is a plus.Excellent command of English (C1-C2 level), with the ability to articulate complex technical concepts to diverse audiences.Must be based in Spain.We value knowledge in: Master’s degree in Computer Science, Engineering, Data Science, or related field.Experience in Agile/Scrum environments and collaborating with remote teams.Background in consulting or client?facing AI delivery projects.What do we offer?Career development: an individualized and mentored career plan for both your personal and professional life.Training tailored to your needs and preferences: through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy.Great team: work in a positive team environment where you can learn from others and they from you.Flexibility and work?life balance: a hybrid work environment and flexible hours.Cutting?edge projects: the opportunity to work on high?priority projects for leading companies in Spain and Europe.The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies.Competitive salary commensurate with experience.Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance.#J-*****-Ljbffr

Proven experience designing production?grade AI and generative AI solutions at scale. Hands?on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform. Familiarity with cloud?native AI services (e.G., Azure AI Foundry, AWS SageMaker/Bedrock, Google Vertex AI). Proficient in Python, with deep knowledge of AI/ML libraries (e.G., TensorFlow, PyTorch, Hugging Face). Demonstrable experience using Terraform (or equivalent) to define and manage cloud infrastructure. Practical experience with MLflow or similar platforms to operationalise ML workflows. Solid understanding of Docker; experience with Kubernetes or other container orchestration systems is a plus. Excellent command of English (C1-C2 level), with the ability to articulate complex technical concepts to diverse audiences. Must be based in Spain. We value knowledge in: Master’s degree in Computer Science, Engineering, Data Science, or related field. Experience in Agile/Scrum environments and collaborating with remote teams. Background in consulting or client?facing AI delivery projects.

Career development: an individualized and mentored career plan for both your personal and professional life. Training tailored to your needs and preferences: through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy. Great team: work in a positive team environment where you can learn from others and they from you. Flexibility and work?life balance: a hybrid work environment and flexible hours. Cutting?edge projects: the opportunity to work on high?priority projects for leading companies in Spain and Europe. The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies. Competitive salary commensurate with experience. Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance. #J-*****-Ljbffr